摘要
针对ENVI软件在计算大范围区域遥感影像的植被指数时处理过程繁琐、效率低,根据植被指数反演模型的计算方法,经过分析和结构设计,在ENVI/IDL环境下开发了一个计算植被指数的反演系统。通过试验对比发现,利用该系统和ENVI 5.0软件分别计算10景Landsat 8 TM遥感影像的归一化植被指数,该系统在处理时间上比ENVI 5.0软件减少了11 min,且两者计算结果的信息量基本一致,不仅在处理速度上有明显优势,而且能够保证计算结果的质量。对大量遥感影像进行批量计算植被指数时,该系统可以减少遥感影像处理的重复工作,提升了植被指数的反演效率。
To calculate the vegetation index from remote sensing image by ENVI soft is not only inefficient but also complex. According to this limitation, a new method was proposed in the ENVI/IDL environment based on the theory of vegetation index inversion model. We thus developed a software system to inverse vegetation index from remote sensing image after the system was analyzed and its structure was designed. Then, we compared the system with ENVI by experiment, 10 pack Landsat 8 TM images were selected and their vegetation indices were calculated by the system and ENVI, respectively. The results indicated that the system is shorter 11 minutes than ENVI in calculating time, and the quantity of information calculated from the system is consistent with the ones fiom ENVI. Thus, the system not only has a significant advantage in processing speed than ENVI, but also ensures the quality of the results of calculation. Therefore, the system can reduce the repeated work of calculating vegetation index, and improve the efficiency of retrieving vegetation index from large number of remote sensing images.
出处
《实验室研究与探索》
CAS
北大核心
2016年第7期6-10,共5页
Research and Exploration In Laboratory
基金
国家自然科学基金项目(41265002)
公益性行业(气象)科研专项(GYHY201306066)
